Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

The Reserve Bank of India's Supervisory Data Quality Index for scheduled commercial banks has improved to 90.7 in September ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Hospitals don’t suffer from a lack of data; they suffer when data can’t be translated into timely, accountable action. Clinical, registry, and operational information often sits in different systems ...

Guest post by Warren Strauss, director of the Advanced Analytics and Health Research Resource Group at Battelle, a private nonprofit applied science and technology development company From required ...

Electronic health record data can identify gaps in maps used for quality improvement for high-risk processes such as hospital discharge when using the Failure Mode and Effects Analysis (FMEA) approach ...

A new study commissioned by Trifacta is shining the light on the costs of poor data quality, particularly for organizations implementing AI initiatives. The study found that dirty and disorganized ...

It is undeniable that artificial intelligence (AI) has permeated every aspect of our lives in a modern, digital world − from entertainment and manufacturing, to security and even healthcare. The AI ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

Assisted living communities stand to benefit by embracing quality improvement as standard practice for sustainable change rather than as an optional add‑on.